Drive Waveform Selection via Pareto Visualization
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Solution Overview
Problem
Existing liquid ejection apparatuses, such as ink jet printers, face challenges in determining optimal drive waveforms for ink ejection, as current techniques fail to effectively utilize and display valuable characteristic data obtained during the waveform searching process.
Innovation Solution
An information processing apparatus that acquires and displays various pieces of information related to drive waveform candidates, using multiple axes to associate evaluation information and display Pareto optimal solutions, allowing users to visualize and select suitable waveforms based on desired ejection characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If multi-objective optimization is performed to search for drive waveforms, then ejection performance achieves desired performance, but valuable characteristic data obtained during the searching process cannot be learned or utilized
Solution Approach 1:
The patent recovers and utilizes the characteristic data that would otherwise be discarded during the waveform search process. By displaying evaluation information for multiple drive waveform candidates including Pareto optimal solutions, the system recovers valuable information about ejection performance characteristics across different waveform parameters, allowing users to learn from data that was previously lost.
Solution Approach 2:
The patent implements feedback by displaying evaluation information that shows the relationship between drive waveform parameters and ejection performance. The display unit provides visual feedback about Pareto optimal solutions and characteristic data, enabling users to understand which waveform parameters yield desirable ejection performance and adjust selections accordingly.
2Adaptability or versatility
If multiple parameters of candidates for drive waveforms are used as variables, then a preferable candidate is available, but it is not possible to learn as to which kinds of characteristic data are obtained from the respective candidates
Solution Approach 1:
The patent adds a new dimension to the data presentation by displaying evaluation information in a multi-axis coordinate system. The display unit shows first evaluation information on a first axis and second evaluation information on a second axis, creating a two-dimensional visualization that preserves and reveals characteristic data relationships that would be lost in single-parameter optimization.
Solution Approach 2:
The patent segments the evaluation information into distinct components displayed on different axes. By separating first evaluation information and second evaluation information into different dimensional spaces, the system allows users to analyze characteristic data for each candidate waveform independently while maintaining the ability to compare across multiple parameters simultaneously.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables the determination of optimal drive waveforms by effectively utilizing and displaying characteristic data, improving ink ejection performance and user understanding of the relationship between different waveform parameters.
Implementation Method 1
a liquid such as an ink is ejected from a nozzle by applying a drive pulse to a drive element such as a piezoelectric element
Data Source
AI summary
Provided is an information processing apparatus used in order to determine a drive waveform to be applied to a liquid ejection head, including: an acquisition unit that acquires a plurality of pieces of information being different from one another in terms of each of a plurality of candidates for the drive waveform; and a first display unit that performs display corresponding to the candidates for the drive waveform while associating first evaluation information out of the plurality of pieces of information with a first axis and associating second evaluation information out of the plurality of pieces of information with a second axis intersecting with the first axis, respectively, and further displays Pareto optimal solution information concerning Pareto optimal solutions of first Pareto variable information and second Pareto variable information.